At a Glance
- Tasks: Design and optimize data pipelines on Google Cloud Platform while collaborating with diverse teams.
- Company: Join iA Financial Group, a leader in innovation and employee development.
- Benefits: Enjoy flexible work, competitive pay, wellness days, and a supportive environment.
- Other info: Embrace a culture of collaboration and continuous learning in a dynamic workplace.
- Why this job: Make an impact in a cutting-edge tech role that values your growth and creativity.
- Qualifications: Experience in data engineering and strong analytical skills are essential.
The predicted salary is between 82800 - 101200 $ per year.
As a Data Analyst, Google Cloud Platform (GCP), you will play a key role in the design, industrialization, and optimization of modern data pipelines on the Google Cloud platform. You will actively contribute to building a robust, scalable, and AI-driven data architecture. You will work closely with multidisciplinary teams to deliver concrete, high value-added solutions for the organization. This position represents a great opportunity to showcase your skills and fully leverage your potential within a caring and reliable company. Here, people and their development are at the heart of our priorities, fostering an environment conducive to collaboration and innovation.
What you will accomplish with us
- Design, develop, and maintain high-performance, secure, and scalable data pipelines (ETL/ELT) on Google Cloud Platform (GCP).
- Leverage GCP services such as: BigQuery, Cloud Storage, Dataproc, Cloud Run, Cloud Workstations.
- Participate in the implementation of modern data lakehouse architectures.
- Design and orchestrate data processing pipelines using Prefect.
- Implement robust, observable, and resilient workflows.
- Develop in modern environments (VS Code / Cloud Workstations).
- Manage source code using GitHub.
- Implement CI/CD pipelines with GitHub Actions.
- Automate deployments and infrastructure using Terraform.
- Prepare, transform, and structure data to support analytics and artificial intelligence use cases.
- Collaborate with data scientists to facilitate access to reliable and governed data.
- Implement DevOps/DataOps practices: Automated testing, Pipeline monitoring, Error handling and alerting.
- Ensure data quality, traceability, and governance.
- Work collaboratively with Product Owners, Product Managers, Architects, Data Scientists, Business partners.
- Translate business needs into robust technical solutions.
- Document solutions and contribute to their continuous evolution.
- Participate in an on-call rotation one week per month, with additional compensation.
What could accelerate your success in this role
- 5 to 10 years of experience in data engineering, ETL/ELT development, or a related field.
- A degree in computer science, software engineering, or an equivalent field.
- Masters data modeling concepts (Data Vault, star schema, etc.).
- Strong experience with BigQuery and cloud analytics environments.
- Distributed processing (Spark / Dataproc).
- Expertise in pipeline orchestration (e.g., Prefect, Airflow, or equivalent).
- Comfortable with modern development practices: GitHub, GitHub Actions, CI/CD, Infrastructure as Code (Terraform).
- Familiar with microservices-oriented architectures (Cloud Run or equivalent).
- Understands data governance, security, and cloud access management (IAM).
- Demonstrates strong analytical skills and the ability to propose relevant solutions.
- Shows autonomy, rigor, and a constant focus on quality.
- Thrives in an agile and multidisciplinary environment.
- Excellent proficiency in French, both spoken and written.
- Intermediate level of English, as the role involves leading presentations and meetings with internal and external stakeholders on a weekly basis.
Important Assets
- Experience in a production GCP environment.
- Knowledge of MLOps/DataOps practices.
- Knowledge of investment and financial data (portfolios, transactions, market prices), a major asset.
- GCP certification (e.g., Professional Data Engineer).
Why you’ll enjoy working with us
- An environment focused on innovation and modern data (GCP-first).
- A strong culture of collaboration between IT, data, and business teams.
- A setting that encourages continuous learning and experimentation.
- A flexible hybrid work environment.
- Competitive benefits: flexible group insurance, competitive retirement plan, employee share purchase plan, vacation and wellness/personal development days, telemedicine, employee and family assistance program, ergonomic equipment program, performance bonus, discounts on iA products, and more!
Apply now and take charge of your career, where your talent truly matters!
At iA, we believe in potential and value diverse experiences. If this role inspires you, go ahead and apply, your place might be with us, and we want to get to know you!
Data Analyst in Québec employer: iA Financial Group
iA Financial Group is an exceptional employer that fosters a dynamic work culture focused on growth and performance. With a commitment to employee development, you will have access to extensive training programs and leadership opportunities, all while working in a collaborative environment that values accountability and top-tier customer service across Canada. Join us and be part of a team that not only drives success but also prioritizes your professional journey.
